Cédrix Kombem
@cdrixkombem
I build production-ready AI systems for computer vision, LLM/RAG, and full-stack applications.
What I'm looking for
I've built computer-vision systems for Green Energy Park, including a real-time anomaly-detection project for CSP solar receiver tubes using synchronized RGB and thermal video. I curated a 797-image dataset, benchmarked YOLO models, and developed an autoencoder approach to identify defects from reconstruction error.
I also built TraderPro, an end-to-end Bitcoin analysis and algorithmic trading platform using Next.js, Python, TensorFlow/LSTM, XGBoost, and reinforcement learning. My work spans model design, training, evaluation, and integration into production-oriented web applications.
Across projects for Burval Corporation, GO AI Corporation, Univers Plancher, and ISMAGI, I've delivered camera-management platforms, low-resource language transcription, REST APIs, security monitoring, player tracking, and data-driven applications.
Experience
Work history, roles, and key accomplishments
AI Engineer
Green Energy Park
Mar 2026 - Sep 2026 (6 months)
Designed and built a dual-tube optical test bench for real-time anomaly detection on CSP receiver tubes. Curated a 797-image dataset and fine-tuned YOLO models, with YOLO11m delivering the best performance.
Education
Degrees, certifications, and relevant coursework
ISMAGI
State Engineering Degree, Computer Science
2023 - 2026
Pursued a State Engineering Degree in Computer Science with a focus on AI and Machine Learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/cedrix27Job categories
Skills
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